Question #213132

The finished inside diameter of a piston ring is normally distributed with a mean of 10 centimeters and a standard deviation of 0.03 centimeter.

(a) What proportion of rings will have inside diameters exceeding 10.075 centimeters?

(b) What is the probability that a piston ring will have an inside diameter between 9.97 and 10:03 centimeters?

(c) Below what value of inside diameter will 15% of the piston rings fall?


1
Expert's answer
2021-07-06T07:24:30-0400

Let X represent that the finished inside diameter of a piston ring is normally distributed with the mean 10 centimeters and a standard deviation of 0.03 centimeters.

(a) The proportion of rings will have inside diameters exceeding 10.075 centimeters

z=xμσ=10.075100.03=2.5P(X>10.075)=P(Z>2.5)=1P(Z<2.5)=10.9938=0.0062=0.62  %z=\frac{x- \mu}{\sigma}= \frac{10.075-10}{0.03}=2.5 \\ P(X>10.075) = P(Z>2.5) \\ = 1 - P(Z<2.5) \\ = 1 -0.9938 \\ = 0.0062 = 0.62 \; \%

(b) The probability that a piston ring will have an inside diameter between 9.97 and 10:03 centimeters

P(9.97<X<10.03)=P(X<10.03)P(X<9.97)=P(Z<10.03100.03)P(Z<9.97100.03)=P(Z<1)P(Z<1)=0.84130.1587=0.6826P(9.97<X<10.03) = P(X<10.03) -P(X<9.97) \\ =P(Z< \frac{10.03-10}{0.03}) -P(Z< \frac{9.97-10}{0.03}) \\ =P(Z< 1) -P(Z< -1) \\ = 0.8413 -0.1587 \\ = 0.6826

(c) The value of inside diameter that will 15% of the piston rings fall

P(X<x)=0.15P(Z<x100.03)=0.15P(Z<1.036)=0.15x100.03=1.036x10=1.036×0.03x=1.036×0.03+10x=9.9689P(X<x) = 0.15 \\ P(Z< \frac{x-10}{0.03}) = 0.15 \\ P(Z< -1.036) = 0.15 \\ \frac{x-10}{0.03}= -1.036 \\ x-10 = - 1.036 \times 0.03 \\ x= -1.036 \times 0.03 + 10 \\ x = 9.9689


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